For the problem of one-dimensional cutting stock for multiple stock lengths with variable cross-section, the sequential value correction and dynamic programming algorithm were proposed. Because the material was of variable cross-section characteristics, the stock length of cutting was varied at different positions under the same weight. Therefore, the conversion of weight and length must be carried out, and the stock length in the corresponding position was obtained. Then, according to the above method, the cutting patterns were generated sequentially, until all demands were met. Furthermore, multiple cutting plans were generated by adjusting the item values, and the best was selected among them. Comparing with random test, the experimental results indicate that the obtained solution is very close to the optimal solution. When the material utilization is measured, the difference between the material utilization rate of the optimal solution and the average utilization rate of the obtained solution is 0.51%, and computing speed is usually quick within seven seconds. Thus, the proposed approach can generate cutting patterns quickly and improve material utilization.